《科技驱动新质生产力崛起：广西新能源汽车产业生态重构与突破路径》，系统梳理了新能源汽车产 业"新四化"发展趋势，深入剖析了广西新能源汽车产业从2015年产量为0到2024年76.5万辆的跨越式发 展成就。该著作不仅为广西地方政府制定产业政策、企业布局战略、科研机构开展技术攻关提供了决策 依据，也为后发展地区培育新质生产力、实现产业弯道超车提供了可借鉴的"广西方案"。 《广西创新联合体建设的理论与实践》：一部集理论性、实践性与政策性于一体的高质量学术成果，其 核心价值在于其强烈的现实针对性与理论前瞻性，直击创新联合体建设中最核心、最棘手的三大难 题："如何建""如何管""如何运作"，构建了一个从理论探索到实践路径的完整分析框架。 《科技星火耀八桂——乡村科技特派员的实干与创新》，梳理了多项经过实践检验的主推技术，涵盖种 植、养殖、加工等多个领域，具有极强的实用性与可操作性，是历年来广西科技特派员工作智慧的结 晶，更是助力农业产业升级的宝贵财富。 亮点三：2项政策研究咨政成效与社会影响突出，获重磅奖项 中新网广西新闻1月30日电 广西科技情报研究所30日发布2025年度广西科技情报与战略研究智库八大成 果，呈现三 ...

Core Viewpoint - The forum emphasizes the importance of technological self-reliance and financial optimization as key drivers for China's modernization and economic growth in the face of global changes [2][4]. Group 1: Technological Self-Reliance - Technological self-reliance is identified as the core driving force to address new global development challenges, with a focus on enhancing national innovation capabilities to achieve the 2035 vision [2][4]. - The current economic environment presents both opportunities and challenges, necessitating a shift in development strategies to adapt to demographic changes and other factors [2]. Group 2: Financial Resource Optimization - Optimizing financial resource allocation is crucial for supporting high-level technological self-reliance, ensuring that financial services effectively support long-term and diverse technological innovations [3][4]. - The "14th Five-Year Plan" emphasizes the need to accelerate the construction of a strong financial nation, which includes enhancing financial service efficiency and security [4]. Group 3: Education and Talent Development - The integration of education, technology, and talent development is fundamental for achieving technological self-reliance, requiring a revitalization of the higher education system to foster innovation capabilities [4][5]. - The forum highlights the importance of cultivating high-quality financial talent that understands both domestic and international contexts, aligning with the needs of financial reforms and innovations [5][6]. Group 4: Tsinghua University Wudaokou Financial Institute's Role - The Tsinghua University Wudaokou Financial Institute aims to build a comprehensive talent training system that meets the demands of the financial sector, focusing on producing versatile professionals [5]. - The institute is committed to establishing a "Tsinghua School" of finance, contributing to the theoretical and practical advancements in China's financial development [6]. - The institute plans to leverage its strengths in technology and finance to create a robust financial infrastructure and enhance national financial security [7][8].

Core Insights - A study by MIT reveals that artificial intelligence (AI) could replace 11.7% of the U.S. labor market, equating to a wage scale of $1.2 trillion in sectors like finance, healthcare, and professional services [1][2] - The research utilizes the "Iceberg Index," a labor simulation tool developed by MIT and Oak Ridge National Laboratory, to model interactions among 151 million workers and assess the impact of AI [1] - The index highlights that the most affected sectors are often overlooked by traditional automation predictions, with significant wage impacts in human resources, logistics, finance, and administrative roles [2] Labor Market Impact - The study indicates that the visible job losses in tech and IT sectors account for only 2.2% of the total wage impact, approximately $211 billion, while the hidden impacts in other sectors are much larger [2] - The Iceberg Index is not a predictive tool for job losses but provides a skills-centered overview of what current AI systems can accomplish, aiding policymakers in exploring hypothetical scenarios before making financial commitments [2] Collaboration with State Governments - Researchers are collaborating with state governments, including Tennessee, North Carolina, and Utah, to validate the model using local labor data and to develop policy scenarios [3] - Tennessee has already incorporated the Iceberg Index into its official AI workforce action plan, while Utah is preparing a similar report based on the model [3] Interactive Simulation Environment - The research team has created an interactive simulation environment that allows states to test various policy levers, such as reallocating workforce funds and adjusting training programs [4] - The Iceberg Index serves as a "sandbox" for decision-makers to prepare for the impacts of AI on labor, enabling them to identify risk hotspots and prioritize training and infrastructure investments [4]